Automated Loop Video Creation System
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Solution Overview
Problem
Existing methods for creating loop videos are either insufficient in addressing abrupt changes or require specialized knowledge and tools, making them impractical for casual users and inefficient for creating high-quality loop videos.
Innovation Solution
A system and method for automatically creating loop videos using an automated module on a computing device that identifies loop points, combines video segments seamlessly, and ensures smooth transitions, allowing users to select music tracks and record videos without manual editing, using pre-designed templates and processing modules to generate final loop videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual editing techniques are used to create loop videos, then the quality of loop videos can be improved, but the time consumption and complexity increase significantly
Solution Approach 1:
The system automatically detects loop points in the video by analyzing frame similarities and motion patterns, then seamlessly splices segments without requiring manual user intervention. The automated loop point detection and video splicing processes eliminate the need for manual editing while maintaining high loop video quality.
Solution Approach 2:
The patent replaces manual mechanical editing operations with automated computational algorithms that detect loop points through frame-by-frame analysis and automatically perform video splicing. This substitution of manual editing with automated processing significantly reduces time consumption while preserving quality.
2Ease of manufacture
If conventional video cutting methods are used, then the creation process is simple, but abrupt changes and jarring transitions occur
Solution Approach 1:
The system continuously analyzes video frames to detect similarity patterns and motion characteristics, using this feedback to automatically identify optimal loop points. By monitoring frame-by-frame data, the system ensures that splicing occurs at points where visual continuity is maintained, eliminating abrupt changes while keeping the process simple.
Solution Approach 2:
The patent changes the parameter of frame similarity threshold and motion analysis parameters to automatically identify optimal splicing points. By adjusting these parameters, the system ensures smooth transitions between video segments without abrupt changes, while maintaining ease of creation through automated processing.
3Object-affected harmful factors
If reverse playback concatenation is used to reduce location abruptness, then location transitions improve, but motion abruptness and unrealistic motions are introduced
Solution Approach 1:
Instead of using reverse playback concatenation, the system inverts the approach by directly analyzing forward motion patterns and frame similarities to identify natural loop points. This inversion of the conventional reverse-playback method eliminates motion abruptness while maintaining location smoothness through natural motion continuity.
Solution Approach 2:
The patent replaces the mechanical reverse-playback concatenation technique with automated computational analysis of motion vectors and frame similarities. This substitution eliminates the harmful motion abruptness and unrealistic motions introduced by reverse playback, while maintaining the benefit of reduced location abruptness through intelligent segment selection.
4Ease of operation
If automated loop point detection is implemented, then the complexity of manual editing is reduced, but the system complexity increases
Solution Approach 1:
The system divides the video into small sequential frames and analyzes each frame's similarity to previous and subsequent frames. This segmentation into individual frame analysis units simplifies the overall detection process, making the automated system more manageable while reducing the need for complex manual editing operations.
Solution Approach 2:
The patent introduces an intermediary analysis layer that processes video frames through similarity metrics and motion vector calculations before identifying loop points. This intermediary computational layer automates the detection process, reducing operational complexity for users while managing system complexity through standardized algorithms.
5Manufacturing precision
If professional manual creation techniques are used, then high-quality loop videos are achieved, but specialized knowledge and tools are required
Solution Approach 1:
The system performs self-service by automatically detecting loop points and executing video splicing without requiring specialized knowledge or tools. The automated detection algorithms analyze frame similarities and motion patterns independently, eliminating the need for professional editing skills while maintaining high video quality.
Solution Approach 2:
The patent replaces specialized manual editing tools and knowledge with automated computational algorithms. The system uses image processing and motion analysis algorithms to achieve professional-quality loop videos without requiring users to possess specialized knowledge or use complex editing software.
Data Source
AI summary
Exemplary embodiments of the present disclosure are directed towards method and system for automatically creating loop videos comprising a computing device comprising an automated loop video creating module configured to enable a user to access a special icon for using one or more pre-designed loop video templates. The automated loop videos creating module configured to allow the user to access and select a music track from music tracks library and enable user to record video segments on pre-designed loop video templates. The server comprising an automated loop videos processing module configured to receive and process user recorded one or more video segments. The automated loop videos processing module configured to identify similarity of foreground regions among extracted video frames and generate a final loop video by merging user recorded video segments. The automated loop videos creating module configured to receive final loop video and display to user on computing device.